Abstract
To choose and manage networked manufacturing resources efficiently, a fuzzy association rules mining technique was proposed. According to the analysis of all data types, a specialized data preprocessing method was applied to extract, wash and transform networked manufacturing resources data, and a self-contained data warehouse on networked manufacturing resources was established for data preprocessing. To deal with the fuzzy association rules mining on manufacturing resources platform, a novel genetic algorithm (GA) based mining method was introduced. Considering the characteristics of networked manufacturing resources, double-level encoding and label-bit switching operator were designed to make the improved GA available to networked manufacturing resources. Finally, a case was employed to demonstrate the practicality of applying fuzzy association rules mining based on GA in networked manufacturing resources management.
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